This dataset covers regional production from the Ministry of Agricuture for Kedougou, Senegal. Production estimates are collected annually for the region by extension agents who combine survey-based yield estimates with direct, in-field yield measurements. Data are aggregated to the department and regional level. Data are available back to the early 1990s, but the years 2010-2012 were selected because before 2010, data were only available for a small number of crops and there were several years with missing data points.

This dataset contains household-level production data for Kedougou, Senegal. It was generated through a 2010 survey of 127 households across 38 villages in the region. Production data was collected at the household level. Quantitative reports of amounts produced for non-staple crops (fruits, vegetables, meat, and dairy) were not reliable because of difficulty recalling amounts produced and exchanged of highly seasonal and marginal food items. Quantitative production data was collected for fonio, maize, millet, peanuts, potatoes, rice, and taro. Qualitative, presence-absence data were collected for bissap, jakatu, cabbage, cassava, okra, and cowpea.

The datasets contained in this data asset were generated through the Feed the Future Senegal Naatal May project, an agricultural market systems development project from 2015-2019. Naatal Mbay worked with 120+ producer organizations across the irrigated rice, rainfed rice, maize, and millet value chains though a data collection system for monitoring and evaluation data that relied on engaging farmers and field agents of partner producer networks as active members of a data collection/feedback loop. Producer networks were trained to collect data and to use it to better plan and manage their own activities while also providing data for the project performance indicators. The producer networks used a set of data management tools established and validated through a close participatory process during the predecessor Projet Croissance Economique project with technical team and partner networks across different value chains. Excel spreadsheets, GIS software, and a CommCare-based mobile data collection application were used to generate agricultural input (fertilizer, seeds) requirements and crop forecasts, track field activities, map farms, and organize harvests. The databases contain information on the producer members, partner producer organizations of the project, monitoring of agronomic activities of plots, financing, marketing, and rainfall data. The databases were audited by Naatal Mbay’s M&E staff and aggregated for the project's key performance indicators.

Feed the Future seeks to reduce poverty and undernutrition in 19 developing countries including Kenya by focusing on accelerating growth of the agricultural sector, addressing root causes of undernutrition, and reducing gender inequality. This baseline survey seeks to capture data on women’s empowerment in agriculture, household food security, consumption, nutrition, and wellbeing of households in the geographic areas targeted by Feed the Future interventions, known as Feed the Future Zones of Influence (ZOI). The ZOI in northern Kenya comprises nine counties and approximately two-thirds of Kenya’s total land area. 13 datasets were submitted including one household dataset comprising of 1,900 records and a roster dataset with 9,809 records. Other datasets were a Women dataset (N=1,382), a children dataset (N=1,346), and 9 modules-based or indicators-based datasets.

The purpose of this study is to evaluate the impact that the Feed the Future Nutrition-led Agriculture Project for Food Security in Senegal (known as "Yaajeende") has had on reducing malnutrition and poverty in its intervention area. This report details the findings, conclusions and recommendations of a mixed-methods quasi-experimental final impact evaluation (FIE) of the United States Agency for International Development’s (USAID) $50 million, seven-year Feed the Future Nutrition-Led Agriculture Project for Food Security in Senegal, known as “Yaajeende.” The National Cooperative Business Association’s Cooperative League of the USA (NCBA CLUSA) implemented the project. To combat poverty and child malnutrition, Yaajeende sought to accelerate the participation of the very poor in rural economic growth and improve the four dimensions of food security: availability, access, utilization and stability. Yaajeende worked in 790 villages across 49 municipalities (“communes” in French) and nine departments in the Matam, Tambacounda, Kédougou and Kolda regions. The project’s implementation period was November 1, 2010, to September 30, 2017. The FIE aims to provide USAID with an evidence base on the impacts of the nutrition-led agriculture (NLA) approach that the project utilized on its key objectives, including reduced poverty and malnutrition. The findings are expected to provide accountability and learning value to USAID, including both the Senegal Mission and USAID/Feed the Future. Additional stakeholders include the Government of Senegal, implementing partners and other agencies, donors and practitioners active in nutrition, health, agriculture and integrated sectors.

Feed the Future seeks to reduce poverty and undernutrition in 19 developing countries including Kenya by focusing on accelerating growth of the agricultural sector, addressing root causes of undernutrition, and reducing gender inequality. This baseline survey seeks to capture data on women’s empowerment in agriculture, household food security, consumption, nutrition, and wellbeing of households in the geographic areas targeted by Feed the Future interventions, known as Feed the Future Zones of Influence (ZOI). The ZOI in northern Kenya comprises nine counties and approximately two-thirds of Kenya’s total land area. This dataset is a household-level file with records for each sampled household with a completed interview (n=1837, variables=102).

The purpose of this study is to evaluate the impact that the Feed the Future Nutrition-led Agriculture Project for Food Security in Senegal (known as "Yaajeende") has had on reducing malnutrition and poverty in its intervention area. This report details the findings, conclusions and recommendations of a mixed-methods quasi-experimental final impact evaluation (FIE) of the United States Agency for International Development’s (USAID) $50 million, seven-year Feed the Future Nutrition-Led Agriculture Project for Food Security in Senegal, known as “Yaajeende.” The National Cooperative Business Association’s Cooperative League of the USA (NCBA CLUSA) implemented the project. To combat poverty and child malnutrition, Yaajeende sought to accelerate the participation of the very poor in rural economic growth and improve the four dimensions of food security: availability, access, utilization and stability. Yaajeende worked in 790 villages across 49 municipalities (“communes” in French) and nine departments in the Matam, Tambacounda, Kédougou and Kolda regions. The project’s implementation period was November 1, 2010, to September 30, 2017. The FIE aims to provide USAID with an evidence base on the impacts of the nutrition-led agriculture (NLA) approach that the project utilized on its key objectives, including reduced poverty and malnutrition. The findings are expected to provide accountability and learning value to USAID, including both the Senegal Mission and USAID/Feed the Future. Additional stakeholders include the Government of Senegal, implementing partners and other agencies, donors and practitioners active in nutrition, health, agriculture and integrated sectors.

Feed the Future seeks to reduce poverty and undernutrition in 19 developing countries including Kenya by focusing on accelerating growth of the agricultural sector, addressing root causes of undernutrition, and reducing gender inequality. This dataset (n=243,789, vars=28) contains variables from Module E1, Food Consumption Over Past 7 Days. Each household with food consumption data has multiple records (for the 133 food items in sub-Module E1). (243,789 records divided by 133 food items =1,833 Module E households with sub-Module E1 data.).

The purpose of this study is to evaluate the impact that the Feed the Future Nutrition-led Agriculture Project for Food Security in Senegal (known as "Yaajeende") has had on reducing malnutrition and poverty in its intervention area. This report details the findings, conclusions and recommendations of a mixed-methods quasi-experimental final impact evaluation (FIE) of the United States Agency for International Development’s (USAID) $50 million, seven-year Feed the Future Nutrition-Led Agriculture Project for Food Security in Senegal, known as “Yaajeende.” The National Cooperative Business Association’s Cooperative League of the USA (NCBA CLUSA) implemented the project. To combat poverty and child malnutrition, Yaajeende sought to accelerate the participation of the very poor in rural economic growth and improve the four dimensions of food security: availability, access, utilization and stability. Yaajeende worked in 790 villages across 49 municipalities (“communes” in French) and nine departments in the Matam, Tambacounda, Kédougou and Kolda regions. The project’s implementation period was November 1, 2010, to September 30, 2017. The FIE aims to provide USAID with an evidence base on the impacts of the nutrition-led agriculture (NLA) approach that the project utilized on its key objectives, including reduced poverty and malnutrition. The findings are expected to provide accountability and learning value to USAID, including both the Senegal Mission and USAID/Feed the Future. Additional stakeholders include the Government of Senegal, implementing partners and other agencies, donors and practitioners active in nutrition, health, agriculture and integrated sectors.

Feed the Future seeks to reduce poverty and undernutrition in 19 developing countries including Kenya by focusing on accelerating growth of the agricultural sector, addressing root causes of undernutrition, and reducing gender inequality. This dataset (n=69,540, vars=23) contains data from sub-Module E7: Durable Goods Expenditures. Each household with data for durable goods expenditures has multiple records (for the 38 durable goods in sub-Module E7). (69,540 records divided by 38 non-food items = 1,830 Module E households with sub-Module E7 data.)